Week | Chapters/Sections | Topics covered | Remarks |
Week 1 and 2 (Sept 6, 11, 13) | Chapter 1 (sections: 1.1-1.8) | Linear Regression with One Predictor | |
Week 3 and 4 (Sept 18, 20, 25, 27 ) | Chapter 2 (sections: 2.1-2.10) | Inferences in Regression and Correlation | |
Week 5 ( Oct 2, 4) | Chapter 3 (sections 3.1-3.10) | Diagnostics and Remedial Measures | |
Week 6,7 (Oct 9, 11, 18) | Review; Exam I, Chapter 3 (sections 3.1-3.10) | | |
Week 8 ( Oct 23, 25) | Chapter 4 (section: 4.4) | Regression through Origin | |
Week 9( Oct 30, Nov 1) | Chapter 6 (section: 6.1, 6.5-6.8) | Multiple Regression Models | |
Week 10 (Nov 6,8) | Chapter 7 and chapter 8 (section: 7.1-7.3, 8.1-8.2) | | |
Week 11, 12 (Nov 13, 15, 20) | Chapter 8 (section: 8.3); Review ; Exam II | Multicollinearity, Polynomial regression | |
Week 13 (Nov 27, 29) | Chapter 9 (section: 9.1, 9.4, 9.6) | Model Selection and Validation | |
Week 14 (Dec 4, 6) | Chapter 13 (section: 13.1, 13.2, 13.6) | Nonlinear Regression | |
Week 15(Dec 11) | Chapter 14 (section: 14.1, 14.2) | Logistic Regression | |